Scalar Field

We’re building the agentic trading desk for the new operating system of markets. I used to be a trader at Tower Research and Goldman Sachs, and I’m building Scalar Field with my co-founder Ramakant, who led engineering teams at Microsoft. We’ve both spent our careers at the intersection of finance and technology, and we’re using that experience to rethink how markets are analyzed, tested, and traded in the age of agents. Scalar Field is built around a simple belief: over the next few years, agents will not just help people research markets — they will actively participate in them. They will monitor news, parse filings, track sentiment, test hypotheses, rebalance portfolios, and execute trades. They will turn ideas into strategies, and strategies into live portfolios. But today’s financial infrastructure was not built for that world. Terminals are dashboards. Backtesting tools are fragmented. Execution systems are separate. Market data is hard to unify. And most platforms still assume the human is the only decision-maker. Scalar Field changes that. We’re building an agentic trading platform where users can create financial agents that research data, backtest strategies, monitor market events, and trigger trades when specific conditions are met. The long-term vision is agentic ETFs: portfolios created, managed, and rebalanced by agents around any idea, narrative, event, or market signal. Scalar Field lets users go from thesis to backtest to live portfolio in one place. It is infrastructure for the agentic trading era.

YC batch

X25 · Spring 2025

Status, per YC

Active

Category

AI

Team size

3

Founded

2025

Checked

35m ago